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288 行
5.5 KiB
288 行
5.5 KiB
default:
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trainer: ppo
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batch_size: 1024
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beta: 5.0e-3
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buffer_size: 10240
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epsilon: 0.2
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hidden_units: 128
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lambd: 0.95
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learning_rate: 3.0e-4
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learning_rate_schedule: linear
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max_steps: 5.0e4
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memory_size: 256
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normalize: false
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num_epoch: 3
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num_layers: 2
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time_horizon: 64
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sequence_length: 64
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summary_freq: 1000
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use_recurrent: false
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vis_encode_type: simple
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reward_signals:
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extrinsic:
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strength: 1.0
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gamma: 0.99
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FoodCollectorLearning:
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normalize: false
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beta: 5.0e-3
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batch_size: 1024
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buffer_size: 10240
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max_steps: 1.0e5
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BouncerLearning:
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normalize: true
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max_steps: 1.0e6
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num_layers: 2
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hidden_units: 64
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PushBlockLearning:
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max_steps: 5.0e4
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batch_size: 128
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buffer_size: 2048
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beta: 1.0e-2
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hidden_units: 256
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summary_freq: 2000
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time_horizon: 64
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num_layers: 2
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SmallWallJumpLearning:
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max_steps: 1.0e6
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batch_size: 128
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buffer_size: 2048
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beta: 5.0e-3
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hidden_units: 256
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summary_freq: 2000
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time_horizon: 128
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num_layers: 2
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normalize: false
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BigWallJumpLearning:
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max_steps: 1.0e6
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batch_size: 128
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buffer_size: 2048
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beta: 5.0e-3
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hidden_units: 256
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summary_freq: 2000
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time_horizon: 128
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num_layers: 2
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normalize: false
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StrikerLearning:
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max_steps: 5.0e5
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learning_rate: 1e-3
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batch_size: 128
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num_epoch: 3
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buffer_size: 2000
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beta: 1.0e-2
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hidden_units: 256
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summary_freq: 2000
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time_horizon: 128
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num_layers: 2
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normalize: false
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GoalieLearning:
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max_steps: 5.0e5
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learning_rate: 1e-3
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batch_size: 320
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num_epoch: 3
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buffer_size: 2000
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beta: 1.0e-2
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hidden_units: 256
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summary_freq: 2000
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time_horizon: 128
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num_layers: 2
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normalize: false
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PyramidsLearning:
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summary_freq: 2000
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time_horizon: 128
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batch_size: 128
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buffer_size: 2048
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hidden_units: 512
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num_layers: 2
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beta: 1.0e-2
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max_steps: 5.0e5
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num_epoch: 3
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reward_signals:
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extrinsic:
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strength: 1.0
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gamma: 0.99
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curiosity:
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strength: 0.02
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gamma: 0.99
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encoding_size: 256
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VisualPyramidsLearning:
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time_horizon: 128
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batch_size: 64
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buffer_size: 2024
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hidden_units: 256
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num_layers: 1
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beta: 1.0e-2
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max_steps: 5.0e5
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num_epoch: 3
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reward_signals:
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extrinsic:
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strength: 1.0
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gamma: 0.99
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curiosity:
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strength: 0.01
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gamma: 0.99
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encoding_size: 256
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3DBallLearning:
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normalize: true
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batch_size: 64
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buffer_size: 12000
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summary_freq: 1000
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time_horizon: 1000
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lambd: 0.99
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beta: 0.001
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3DBallHardLearning:
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normalize: true
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batch_size: 1200
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buffer_size: 12000
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summary_freq: 1000
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time_horizon: 1000
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max_steps: 5.0e5
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beta: 0.001
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reward_signals:
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extrinsic:
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strength: 1.0
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gamma: 0.995
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TennisLearning:
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normalize: true
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max_steps: 2e5
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CrawlerStaticLearning:
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normalize: true
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num_epoch: 3
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time_horizon: 1000
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batch_size: 2024
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buffer_size: 20240
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max_steps: 1e6
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summary_freq: 3000
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num_layers: 3
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hidden_units: 512
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reward_signals:
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extrinsic:
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strength: 1.0
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gamma: 0.995
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CrawlerDynamicLearning:
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normalize: true
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num_epoch: 3
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time_horizon: 1000
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batch_size: 2024
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buffer_size: 20240
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max_steps: 1e6
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summary_freq: 3000
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num_layers: 3
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hidden_units: 512
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reward_signals:
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extrinsic:
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strength: 1.0
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gamma: 0.995
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WalkerLearning:
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normalize: true
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num_epoch: 3
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time_horizon: 1000
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batch_size: 2048
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buffer_size: 20480
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max_steps: 2e6
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summary_freq: 3000
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num_layers: 3
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hidden_units: 512
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reward_signals:
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extrinsic:
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strength: 1.0
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gamma: 0.995
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ReacherLearning:
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normalize: true
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num_epoch: 3
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time_horizon: 1000
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batch_size: 2024
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buffer_size: 20240
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max_steps: 1e7
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summary_freq: 3000
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reward_signals:
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extrinsic:
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strength: 1.0
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gamma: 0.995
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HallwayLearning:
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use_recurrent: true
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sequence_length: 64
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num_layers: 2
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hidden_units: 128
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memory_size: 256
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beta: 1.0e-2
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num_epoch: 3
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buffer_size: 1024
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batch_size: 128
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max_steps: 5.0e5
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summary_freq: 1000
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time_horizon: 64
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VisualHallwayLearning:
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use_recurrent: true
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sequence_length: 64
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num_layers: 1
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hidden_units: 128
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memory_size: 256
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beta: 1.0e-2
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num_epoch: 3
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buffer_size: 1024
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batch_size: 64
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max_steps: 5.0e5
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summary_freq: 1000
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time_horizon: 64
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VisualPushBlockLearning:
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use_recurrent: true
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sequence_length: 32
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num_layers: 1
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hidden_units: 128
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memory_size: 256
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beta: 1.0e-2
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num_epoch: 3
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buffer_size: 1024
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batch_size: 64
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max_steps: 5.0e5
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summary_freq: 1000
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time_horizon: 64
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GridWorldLearning:
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batch_size: 32
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normalize: false
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num_layers: 1
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hidden_units: 256
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beta: 5.0e-3
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buffer_size: 256
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max_steps: 5.0e5
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summary_freq: 2000
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time_horizon: 5
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reward_signals:
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extrinsic:
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strength: 1.0
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gamma: 0.9
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BasicLearning:
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batch_size: 32
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normalize: false
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num_layers: 1
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hidden_units: 20
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beta: 5.0e-3
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buffer_size: 256
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max_steps: 5.0e5
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summary_freq: 2000
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time_horizon: 3
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reward_signals:
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extrinsic:
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strength: 1.0
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gamma: 0.9
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